Modeling the relationship between gene expression and mutational signature.

ABSTRACT:

Background

Mutational signatures computed from somatic mutations, allow an in-depth understanding of tumorigenesis and may illuminate early prevention strategies. Many studies have shown the regulation effects between somatic mutation and gene expression dysregulation.

Methods

We hypothesized that there are potential associations between mutational signature and gene expression. We capitalized upon RNA-seq data to model 49 established mutational signatures in 33 cancer types. Both accuracy and area under the curve were used as performance measures in five-fold cross-validation.

Results

A total of 475 models using unconstrained genes, and 112 models using protein-coding genes were selected for future inference purposes. An independent gene expression dataset on lung ca

SUBMITTER: Jiang L 

PROVIDER: S-EPMC10078980 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature